p>2 years of experience with the following: ETL tools, SQL Databases, Data Warehousing, and Data Modeling; Python, R, SQL, and Scala for processing large datasets in animal science, including statistical analysis and predictive modeling; Power platforms (Power BI, Power Automate, Power Apps, Power Pivot, Microsoft Fabric) to create dashboards and reports related to animal health, farm productivity, and research findings; Collaborating with barn managers, animal technicians, and veterinarians to develop and support custom applications in VB6 for animal nutrition data collection and performance tracking; Designing and optimizing data pipelines of farm data using cloud technologies, including Azure Functions, Data Lake, and APIs. 1 year of experience with the following: Building, training, and deploying machine learning and data science models to predict health, feeding, growth, and performance-related attributes; Developing and supporting data solutions that interface with barn management systems using SSAS, SSIS, SSRS, T-SQL, and similar tools; Network engineering, including maintenance of networking hardware like switches, routers, and APs.